Autonomous Agent Security Architecture Review
As AI agents move from simple chatbots to autonomous actors capable of reading databases, calling external APIs, and executing code, the attack surface expands exponentially. AgentClad Security evaluates your agent architecture against modern trust boundaries, verifying that agents cannot escalate privileges, bypass approval flows, or execute unauthorized actions even under complete model compromise.
Technical Scoping Activities
- Trust boundary and data flow diagram analysis across agent components
- Tool permission model, API scope, and least-privilege verification
- Memory persistence (short-term & long-term) security audit
- Human-in-the-loop (HITL) approval flow bypass assessment
- Unbounded execution loop and resource exhaustion analysis
Concrete Eng Deliverables
- Agent Threat Model & Trust Boundary DiagramArtifact Label: [Sample Audit Artifact] - Detailed map of agent components, state stores, tool integration points, and high-risk boundaries.
- Agent Security Architecture Review ReportArtifact Label: [Sample Audit Artifact] - In-depth review of permission flaws, execution vulnerabilities, and architectural recommendations.
- Least-Privilege Tool Scope SpecificationArtifact Label: [Sample Audit Artifact] - Refined JSON schemas and permission scopes for all agent-callable tools and APIs.
Engagement RACI & Prerequisites
- Perform thorough architectural and code-level design analysis.
- Map all agent capabilities, memory stores, and external integrations.
- Highlight single-points-of-failure and privilege escalation risks.
- Provide actionable architecture refactoring patterns.
Explicit Engagement Exclusions
- Commercial vendor model training dataset auditing.
- Third-party cloud infrastructure compliance certifications (e.g. SOC 2 Type II audit).
Practice Area FAQs
Do we need to share full source code access for an architecture review?
While code access enables deeper review, architecture reviews can be conducted using design documents, schema files, and interface specifications under strict NDA.
What frameworks do you support (LangChain, AutoGen, CrewAI, custom)?
We evaluate custom agentic engines as well as popular frameworks including LangChain, AutoGen, CrewAI, Semantic Kernel, and custom internal runtimes.
Schedule a Technical Scoping Session for Autonomous Agent Security Architecture Review
Discuss your system architecture, deployment timeline, and compliance targets directly with our AI security engineers.